Intel® C++ Compiler

Parallel Computation Support

One of the basic requirements for the random number sequences generated by the engines is their mutual independence and lack of inter-correlation. Even if you want random number samplings to be correlated, such correlation should be controllable. The Short Vector Random Number Generator (SVRNG) library provides two techniques: "skip-ahead" and "leap-frog".

Error Handling

The Short Vector Random Number Generator (SVRNG) library supports error handling via status variables and corresponding set and get functions. NULL pointers are returned for errors when possible. The following table contains the status constants defined in svrng.h:

Macro Name

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